chevron (version 0.2.7)

aet02_label: AET02 Table 1 (Default) Adverse Events by System Organ Class and Preferred Term Table 1.

Description

The AET02 table provides an overview of the number of subjects experiencing adverse events and the number of advert events categorized by Body System and Dictionary-Derived Term.

Usage

aet02_label
aet02_main(
  adam_db,
  arm_var = "ACTARM",
  row_split_var = "AEBODSYS",
  lbl_overall = NULL,
  summary_labels = list(all = aet02_label, TOTAL = c(nonunique =
    "Overall total number of events")),
  ...
)
aet02_pre(adam_db, row_split_var = "AEBODSYS", ...)
aet02_post(tlg, row_split_var = "AEBODSYS", prune_0 = TRUE, ...)
aet02

Value

the main function returns an rtables object.

the preprocessing function returns a list of data.frame.

the postprocessing function returns an rtables object or an ElementaryTable (null report).

Format

An object of class character of length 2.

An object of class chevron_t of length 1.

Arguments

adam_db

(list of data.frames) object containing the ADaM datasets

arm_var

(string) variable used for column splitting

row_split_var

(character) additional row split variables.

lbl_overall

(string) label used for overall column, if set to NULL the overall column is omitted

summary_labels

(list) of summarize labels. See details.

...

not used.

tlg

(TableTree, Listing or ggplot) object typically produced by a main function.

prune_0

(flag) remove 0 count rows

Functions

• aet02_label: Default labels

• aet02_main(): Main TLG function

• aet02_pre(): Preprocessing

• aet02_post(): Postprocessing

Details

• Numbers represent absolute numbers of subject and fraction of N, or absolute number of event when specified.

• Remove zero-count rows unless overridden with prune_0 = FALSE.

• Split columns by arm.

• Does not include a total column by default.

• Sort Dictionary-Derived Code (AEDECOD) by highest overall frequencies.

• Missing values in AEBODSYS, and AEDECOD are labeled by No Coding Available. summary_labels is used to control the summary for each level. If "all" is used, then each split will have that summary statistic with the labels. One special case is "TOTAL", this is for the overall population.

Examples

run(aet02, syn_data)